Welcome to the first chapter of our book! In this book, we will use our knowledge of Python and machine learning to create data models and perform statistical analysis on different data schemas. We will learn about various techniques pertaining to statistical learning and how to apply them in data analysis. By the end of this book, you will be confident in using various machine learning models, training them, and learning how to evaluate model results and implement various dimensionality reduction techniques. So, without further ado, let's dive right in! In this chapter, we will look at the following topics:
- Computing descriptive statistics
- Classical inference for proportions
- Classical inference for means
- Diving into Bayesian analysis
- Bayesian analysis for proportions
- Bayesian analysis for means
- Finding correlations
